Crate

crossbeam-queue

Browse Rust repositories that depend on crossbeam-queue.

88
Repositories
91%
Actively maintained
79
Updated ≤ 30 days
521k
Total stars
85
Owners

Counted from the Cargo.toml manifests of the 88 indexed repositories that declare crossbeam-queue as a dependency — not download counts. Dependency data last verified 2026-08-13.

Browse 88 repositories using crossbeam-queue in Repos →
Often used with

Crates that show up unusually often in crossbeam-queue projects. The most distinctive pairings rank first — crates these projects use far more than the average indexed Rust project does, not just crates that are popular everywhere. Each percentage is the share of crossbeam-queue projects that also use it.

Used by these organizations
50 of 88 repositories · ranked by stars · 79 pushed in the last 30 days
union74kactive

The trust-minimized, zero-knowledge bridging protocol, designed for censorship resistance, extremely high security, and usage in decentralized finance.

rustfs31kactive

🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platforms such as MinIO and Ceph.

sqlx17kmaintenance

🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.

dbt-core14kactive

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

lance6.9kactive

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

hl3.3kactive

A fast and powerful log viewer and processor that converts JSON logs or logfmt logs into a clear human-readable format.

zenoh3.1kactive

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

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